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Drawing scatterplot with categories in Seaborn

Programming
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Python
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Seaborn
schedule Jul 1, 2022
Last updated
local_offer Python
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To draw a scatterplot with categories in Seaborn, use sns,scatterplot(~).

Example of drawing scatterplot with categories in Seaborn

Consider the following Pandas DataFrame:

import pandas as pd
import seaborn as sns

df = pd.DataFrame({
"Group":["A","A","B","B","A"],
"Height":[120,150,180,140,160],
"Weight":[50,60,70,80,70]
})

df.head()
Group Height Weight
0 A 120 50
1 A 150 60
2 B 180 70
3 B 140 80
4 A 160 70

Drawing a scatterplot with Seaborn

To draw a scatterplot of Height vs Weight with Group as the category:

ax = sns.scatterplot(data=df, x="Height", y="Weight", hue="Group")

This gives us the following plot:

Changing point markers

To vary the markers as well, use the style argument:

ax = sns.scatterplot(data=df, x="Height", y="Weight", hue="Group", style="Group")

This gives us the following plot:

Notice how group B is marked by a cross now instead of a point.

Drawing different coloured points

To change the color of different categories, set the pallete argument:

ax = sns.scatterplot(data=df, x="Height", y="Weight", hue="Group", style="Group", palette="Set2")

This gives us the following:

For other color palettes, please visit https://seaborn.pydata.org/tutorial/color_palettes.html#qualitative-color-palettesopen_in_new.

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Published by Isshin Inada
Edited by 0 others
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